TreekoR: identifying cellular-to-phenotype associations by elucidating hierarchical relationships in high-dimensional cytometry data.
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ABSTRACT:
SUBMITTER: Chan A
PROVIDER: S-EPMC8628061 | biostudies-literature | 2021 Nov
REPOSITORIES: biostudies-literature
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treekoR: identifying cellular-to-phenotype associations by elucidating hierarchical relationships in high-dimensional cytometry data.
Chan Adam A Jiang Wei W Blyth Emily E Yang Jean J Patrick Ellis E
Genome biology 20211129 1
High-throughput single-cell technologies hold the promise of discovering novel cellular relationships with disease. However, analytical workflows constructed for these technologies to associate cell proportions with disease often employ unsupervised clustering techniques that overlook the valuable hierarchical structures that have been used to define cell types. We present treekoR, a framework that empirically recapitulates these structures, facilitating multiple quantifications and comparisons ...[more]
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